The history of architecture is full of stories of salary databases, where data about salaries is collected from various organizations, often through a job posting or other source.

But as the cost of data storage continues to skyrocket, so too do the costs of maintaining and improving such a database.

In this post, we’re going to take a look at the costs associated with creating a salary database, and we’ll discuss the challenges of maintaining such a resource.

Salary database architecture Salary databases are often created by hiring organizations or by freelancers to keep track of salaries for various positions.

As a freelancer, for example, you might be asked to provide a salary, which is then matched to an email address associated with a job listing.

As an employer, you may want to know the salary of someone you hired.

These are all valid options.

In order to keep a salary data repository up-to-date, you’ll need a payroll system.

This system will keep track and process payroll data for different organizations and departments.

The most common systems you’ll encounter are payroll, payroll reporting, payroll analytics, and payroll management systems.

The best salary database system is a combination of these systems.

As we discussed in Part One, this can be an expensive endeavor.

There are a number of options to consider when deciding what to use, and it’s important to understand why and how they work.

To get started, let’s look at a few of the basic salary databases you can use to track salaries.